Computer Science – Networking and Internet Architecture
Scientific paper
2010-09-15
International Journal of Computer Networks & Communications (IJCNC), Vol.2, No.4, July 2010
Computer Science
Networking and Internet Architecture
10 pages, 10 figures
Scientific paper
10.5121/ijcnc.2010.2413
In this paper an improved version of the graded precision localization algorithm GRADELOC, called IGRADELOC is proposed. The performance of GRADELOC is dependent on the regions formed by the overlapping radio ranges of the nodes of the underlying sensor network. A different region pattern could significantly alter the nature and precision of localization. In IGRADELOC, two improvements are suggested. Firstly, modifications are proposed in the radio range of the fixed-grid nodes, keeping in mind the actual radio range of commonly available nodes, to allow for routing through them. Routing is not addressed by GRADELOC, but is of prime importance to the deployment of any adhoc network, especially sensor networks. A theoretical model expressing the radio range in terms of the cell dimensions of the grid infrastructure is proposed, to help in carrying out a deployment plan which achieves the desirable precision of coarse-grained localization. Secondly, in GRADELOC it is observed that fine-grained localization does not achieve significant performance benefits over coarse-grained localization. In IGRADELOC, this factor is addressed with the introduction of a parameter that could be used to improve and fine-tune the precision of fine-grained localization.
Kar Subrat
Sarangi Sanat
No associations
LandOfFree
Performance Analysis of an Improved Graded Precision Localization Algorithm for Wireless Sensor Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Performance Analysis of an Improved Graded Precision Localization Algorithm for Wireless Sensor Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Performance Analysis of an Improved Graded Precision Localization Algorithm for Wireless Sensor Networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-77615